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outputai Claude Code Plugin

Author
Output.ai
Category
Development
Topics
AI Agents & AI App Development · Claude Code Customization & Workflow
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-09-04 (UTC)
Source (GitHub) last updated
2026-08-31 (UTC) (5 days ago)

The explanation below is AI-generated. Please verify it against the sources.

This plugin is a Claude Code toolkit for working with the Output.ai framework, an open-source TypeScript system for building AI workflows and agents. It adds five specialist agents covering planning, building, debugging, prompt writing, and quality review, along with more than 40 slash-command skills for tasks like project scaffolding, debugging, evaluation, and credential handling. A SessionStart hook automatically loads Output SDK conventions so Claude is already aware of the framework's structure before a user issues their first request. The goal, per the item description, is to help Claude Code operate effectively within Output.ai-based projects from the start of a session.

About the service

Output. It bundles prompt management, tracing, cost tracking, orchestration (via Temporal), evaluation tools, and credential encryption into a single codebase-based system, aiming to avoid relying on multiple separate external subscription services. It supports multiple LLM providers, including Anthropic, OpenAI, Azure, Vertex AI, and Bedrock, through one unified API.

What you can do with outputai

  • Invoke specialist agents for planning, building, debugging, prompt writing, and quality review of Output.ai workflows
  • Run 40+ slash-command skills for scaffolding new workflows, debugging, running evaluations, and managing credentials
  • Have Output SDK conventions automatically loaded into context via a SessionStart hook before starting work
  • Work with the Output framework's concepts such as workflows, steps, prompts, and evaluators from within Claude Code

Sources

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